Identification and validation of immune and diagnostic biomarkers for interstitial cystitis/painful bladder syndrome by integrating bioinformatics and machine-learning.

Journal: Frontiers in immunology
PMID: 39917301

Abstract

BACKGROUND: The etiology of interstitial cystitis/painful bladder syndrome (IC/BPS) remains elusive, presenting significant challenges in both diagnosis and treatment. To address these challenges, we employed a comprehensive approach aimed at identifying diagnostic biomarkers that could facilitate the assessment of immune status in individuals with IC/BPS.

Authors

  • Tao Zhou
    Department of Otorhinolaryngology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
  • Can Zhu
    College of Media and International Culture, Zhejiang University, Hangzhou, 310058, China. canzhu@zju.edu.cn.
  • Wei Zhang
    The First Affiliated Hospital of Nanchang University, Nanchang, China.
  • Qiongfang Wu
    Center for Cell Lineage and Development, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences Guangzhou, Guangzhou, China.
  • Mingqiang Deng
    Center for Cell Lineage and Development, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences Guangzhou, Guangzhou, China.
  • Zhiwei Jiang
    Department of General Surgery, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
  • Longfei Peng
    Department of Urology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China.
  • Hao Geng
    Department of Urology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China.
  • Zhouting Tuo
    Department of Urology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China.
  • Ci Zou
    Department of Urology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China.

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